English
Related papers

Related papers: Convexity in Tree Spaces

200 papers

We extend reconstruction methods for phylogenetic trees to ultrametrics of arbitrary matroids and study the stability of these data analysis methods in the combinatorial spirit of Andreas Dress. In particular, we generalize Atteson's work…

Combinatorics · Mathematics 2025-09-23 Shelby Cox , John Sabol , Roan Talbut , Ruriko Yoshida

Metric graphs are important models for capturing the structure of complex data across various domains. While much effort has been devoted to extracting geometric and topological features from graph data, computational aspects of metric…

Algebraic Geometry · Mathematics 2025-12-10 Yueqi Cao , Anthea Monod

The work consists of solutions of metric problems for convex and finite subsets of geodesic spaces.

Metric Geometry · Mathematics 2010-11-30 Evgenii N. Sosov

We explore the positive geometry of statistical models in the setting of toric varieties. Our focus lies on models for discrete data that are parameterized in terms of Cox coordinates. We develop a geometric theory for computations in…

Algebraic Geometry · Mathematics 2023-03-23 Michael Borinsky , Anna-Laura Sattelberger , Bernd Sturmfels , Simon Telen

There are several tools available to infer phylogenetic trees, which depict the evolutionary relationships among biological entities such as viral and bacterial strains in infectious outbreaks, or cancerous cells in tumor progression trees.…

Data Structures and Algorithms · Computer Science 2023-12-22 António Pedro Branco , Cátia Vaz , Alexandre P. Francisco

Distance-based methods such as UPGMA (Unweighted Pair Group Method with Arithmetic Mean) continue to play a significant role in phylogenetic research. We use polyhedral combinatorics to analyze the natural subdivision of the positive…

Populations and Evolution · Quantitative Biology 2012-06-11 Ruth Davidson , Seth Sullivant

This paper reviews several Riemannian metrics and evolution equations in the context of diffeomorphic shape analysis. After a short review of of various approaches at building Riemannian spaces of shapes, with a special focus on the…

Differential Geometry · Mathematics 2022-05-04 Nicolas Charon , Laurent Younes

We describe the use of the Frechet mean and variance in the Billera-Holmes-Vogtmann (BHV) treespace to summarize and explore the diversity of a set of phylogenetic trees. We show that the Frechet mean is comparable to other summary methods,…

Populations and Evolution · Quantitative Biology 2018-05-14 Daniel G. Brown , Megan Owen

Convex geometries are closure systems satisfying the anti-exchange axiom. Every finite convex geometry can be embedded into a convex geometry of finitely many points in an n-dimensional space equipped with a convex hull operator, by the…

Combinatorics · Mathematics 2016-09-02 Kira Adaricheva , Madina Bolat

To quantify the geometric expressivity of transformers, we introduce a tropical geometry framework to characterize their exact spatial partitioning capabilities. By modeling self-attention as a vector-valued tropical rational map, we prove…

Machine Learning · Computer Science 2026-04-17 Ye Su , Yong Liu

We study extremal properties of finite ultrametric spaces $X$ and related properties of representing trees $T_X$. The notion of weak similarity for such spaces is introduced and related morphisms of labeled rooted trees are found. It is…

Metric Geometry · Mathematics 2017-12-19 O. Dovgoshey , E. Petrov , H. -M. Teichert

We construct the differential geometry of smooth manifolds equipped with an algebraic curvature map acting as an area measure. Area metric geometry provides a spacetime structure suitable for the discussion of gauge theories and strings,…

High Energy Physics - Theory · Physics 2009-11-11 Frederic P. Schuller , Mattias N. R. Wohlfarth

We investigate the interrelations between labeled trees and ultrametric spaces generated by these trees. The labeled trees, which generate complete ultrametrics, totally bounded ultrametrics, and discrete ones, are characterized up to…

Combinatorics · Mathematics 2022-01-27 Oleksiy Dovgoshey , Mehmet Küçükaslan

Phylogenetic trees are used to model evolution: leaves are labelled to represent contemporary species ("taxa") and interior vertices represent extinct ancestors. Informally, convex characters are measurements on the contemporary species in…

Combinatorics · Mathematics 2021-11-25 Steven Kelk , Ruben Meuwese , Stephan Wagner

Scaffolds are the one-dimensional skeleta of high-dimensional flag simplicial complexes of nonpositive curvature. They generalize the phylogenetic trees of Trop G(2,n) to arbitrary $k$, drawing together SL(k)-web bases, affine buildings,…

Combinatorics · Mathematics 2026-04-29 Nick Early , Thomas Lam

Flips in triangulations of convex polygons arise in many different settings. They are isomorphic to rotations in binary trees, define edges in the 1-skeleton of the Associahedron and cover relations in the Tamari Lattice. The complexity of…

Computational Geometry · Computer Science 2026-02-27 Joseph Dorfer

We consider the problem of learning the structure of undirected graphical models with bounded treewidth, within the maximum likelihood framework. This is an NP-hard problem and most approaches consider local search techniques. In this…

Machine Learning · Computer Science 2012-12-12 K. S. Sesh Kumar , Francis Bach

Tropical geometry yields good lower bounds, in terms of certain combinatorial-polyhedral optimisation problems, on the dimensions of secant varieties. In particular, it gives an attractive pictorial proof of the theorem of Hirschowitz that…

Algebraic Geometry · Mathematics 2017-10-10 Jan Draisma

With the use of mathematical techniques of tropical geometry, it was shown by Mikhalkin some twenty years ago that certain Gromov-Witten invariants associated with topological quantum field theories of pseudoholomorphic maps can be computed…

High Energy Physics - Theory · Physics 2024-06-24 Emil Albrychiewicz , Kai-Isaak Ellers , Andrés Franco Valiente , Petr Hořava

A decision tree is commonly restricted to use a single hyperplane to split the covariate space at each of its internal nodes. It often requires a large number of nodes to achieve high accuracy, hurting its interpretability. In this paper,…

Machine Learning · Computer Science 2020-10-23 Mohammadreza Armandpour , Mingyuan Zhou